Multi-document summarization using cluster-based link analysis
The Markov Random Walk model has been recently exploited for multi-document
summarization by making use of the link relationships between sentences in the document …
summarization by making use of the link relationships between sentences in the document …
[PDF][PDF] Manifold-Ranking Based Topic-Focused Multi-Document Summarization.
Topic-focused multi-document summarization aims to produce a summary biased to a given
topic or user profile. This paper presents a novel extractive approach based on manifold …
topic or user profile. This paper presents a novel extractive approach based on manifold …
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of
documents on the Web. Many supervised and unsupervised approaches have been …
documents on the Web. Many supervised and unsupervised approaches have been …
An integrated approach to resource pool management: Policies, efficiency and quality metrics
The consolidation of multiple servers and their workloads aims to minimize the number of
servers needed thereby enabling the efficient use of server and power resources. At the …
servers needed thereby enabling the efficient use of server and power resources. At the …
[PDF][PDF] Improved affinity graph based multi-document summarization
This paper describes an affinity graph based approach to multi-document summarization.
We incorporate a diffusion process to acquire semantic relationships between sentences …
We incorporate a diffusion process to acquire semantic relationships between sentences …
[PDF][PDF] An exploration of document impact on graph-based multi-document summarization
The graph-based ranking algorithm has been recently exploited for multi-document
summarization by making only use of the sentence-to-sentence relationships in the …
summarization by making only use of the sentence-to-sentence relationships in the …
[PDF][PDF] Graph-Based Multi-Modality Learning for Topic-Focused Multi-Document Summarization.
Graph-based manifold-ranking methods have been successfully applied to topic-focused
multi-document summarization. This paper further proposes to use the multi-modality …
multi-document summarization. This paper further proposes to use the multi-modality …
Using only cross-document relationships for both generic and topic-focused multi-document summarizations
In recent years graph-ranking based algorithms have been proposed for single document
summarization and generic multi-document summarization. The algorithms make use of the …
summarization and generic multi-document summarization. The algorithms make use of the …
[PDF][PDF] Sentence clustering-based summarization of multiple text documents
With the rapid growth of the World Wide Web, information overload is becoming a problem
for an increasingly large number of people. Automatic Multidocument summarization can be …
for an increasingly large number of people. Automatic Multidocument summarization can be …
An unsupervised multi-document summarization framework based on neural document model
In the age of information exploding, multi-document summarization is attracting particular
attention for the ability to help people get the main ideas in a short time. Traditional …
attention for the ability to help people get the main ideas in a short time. Traditional …